Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Receipts extraction
Extract Merchant details from Receipts
Pull every merchant details value out of any receipts — including scans and multi-page variants — into clean structured JSON. Each value carries a confidence score and a citation back to its source pixel.
Pulling merchant details out of a receipt by hand is slow, and it is exactly where a mistake slips through. Receipts are the messiest document a finance team touches — crumpled thermal paper, a phone photo at an angle, faded ink, and a layout that changes with every point-of-sale system. The total is often the only clean number, and the merchant name is buried in a header of store codes and phone numbers.
Docusift runs OCR, de-skew, and extraction in one pass, so a photographed receipt reaches the same accuracy bar as a native PDF. It pulls the merchant, date, each line item, tax, and total, and flags a low-confidence field for review instead of guessing.
Each extracted value ships with a per-field confidence score and a citation back to the exact spot on the page it was read from, so low-confidence merchant details route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Item | Qty | Amount |
|---|---|---|
| Flat white | 2 | 9.00 |
| Almond croissant | 1 | 4.25 |
| Tax | 1.07 | |
| Total | 14.32 |
Example structured output
{
"document_type": "receipt",
"merchant": "Blue Bottle Coffee",
"date": "2026-04-18",
"payment_method": "Visa ****8842",
"line_items": [
{ "description": "Flat white", "quantity": 2, "amount": 9.00 },
{ "description": "Almond croissant", "quantity": 1, "amount": 4.25 }
],
"subtotal": 13.25,
"tax": 1.07,
"total": 14.32,
"confidence": 0.97
}Why teams choose Docusift
A confidence score on every field
Every value ships with a confidence score and a citation back to the source pixel in the original document, so low-confidence fields route to review instead of landing unchecked.
Fast turnaround
Seconds per document, not minutes. Built for production pipelines, not batch jobs.
Privacy first
Workspace-isolated processing, encrypted in transit and at rest, and one-click data deletion.
Frequently asked questions
How do I extract merchant details from receipts?
Upload the receipts to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every merchant details value, its confidence score, and a citation back to the source pixel — typically in under a second per page.
What is the best way to pull merchant details from receipts automatically?
The best way is a tool that reads layouts visually rather than matching templates. Template tools break when a vendor changes their format; Docusift parses each receipt from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned receipts?
Yes. OCR, layout analysis, and field extraction run in a single pass, so scans, mobile photos, and native PDFs use the same endpoint and reach the same accuracy bar.
Can I push the extracted merchant details into my own system?
Yes. Receive structured JSON via REST, hit a webhook, or sync directly into Google Sheets, your data warehouse, or your accounting tool.
How accurate is Docusift at extracting merchant details?
Docusift reads each receipt visually rather than matching a template, and every extracted value ships with a per-field confidence score and a citation back to the source pixel — so low-confidence merchant details route to human review automatically instead of landing unchecked.
Do I need to train a model first?
No. Docusift recognizes hundreds of document types out of the box. Custom fields are configured with a single sentence — no labeled training data required.
How is pricing calculated?
Pay per page processed. There is a free tier for evaluation and volume discounts for production workloads. No seat fees.
Can Docusift handle scanned or photographed documents?
Yes. The pipeline runs OCR + layout analysis + extraction in one pass, so scans, mobile photos, and native PDFs all flow through the same endpoint.
Related extractors
Start extracting merchant details from receipts
Free tier includes 100 pages per month. No credit card required.
Start free — no credit card